Search Results (54)

Background/Objectives: The integration of AI chatbots in nursing education, particularly in simulation-based learning, is advancing rapidly. However, there is a lack of structured evaluation models, especially to assess AI-generated simulations. This article introduces the AI-Integrated Method for Simulation (AIMS) evaluation framework, a dual-phase evaluation framework adapted from the FAITA model, designed to evaluate both prompt design and chatbot performance in the context of nursing education. Methods: This simulation-based study explored the application of an AI chatbot in an emergency planning course. The AIMS framework was developed and applied, consisting of six prompt-level domains (Phase 1) and eight performance criteria (Phase 2). These domains were selected based on current best practices in instructional design, simulation fidelity, and emerging AI evaluation literature. To assess the chatbots educational utility, the study employed a scoring rubric for each phase and incorporated a structured feedback loop to refine both prompt design and chatbox interaction. To demonstrate the framework’s practical application, the researchers configured an AI tool referred to in this study as “Eval-Bot v1”, built using OpenAI’s GPT-4.0, to apply Phase 1 scoring criteria to a real simulation prompt. Insights from this analysis were then used to anticipate Phase 2 performance and identify areas for improvement. Participants (three individuals)—all experienced healthcare educators and advanced practice nurses with expertise in clinical decision-making and simulation-based teaching—reviewed the prompt and Eval-Bot’s score to triangulate findings. Results: Simulated evaluations revealed clear strengths in the prompt alignment with course objectives and its capacity to foster interactive learning. Participants noted that the AI chatbot supported engagement and maintained appropriate pacing, particularly in scenarios involving emergency planning decision-making. However, challenges emerged in areas related to personalization and inclusivity. While the chatbot responded consistently to general queries, it struggled to adapt tone, complexity and content to reflect diverse learner needs or cultural nuances. To support replication and refinement, a sample scoring rubric and simulation prompt template are provided. When evaluated using the Eval-Bot tool, moderate concerns were flagged regarding safety prompts and inclusive language, particularly in how the chatbot navigated sensitive decision points. These gaps were linked to predicted performance issues in Phase 2 domains such as dialog control, equity, and user reassurance. Based on these findings, revised prompt strategies were developed to improve contextual sensitivity, promote inclusivity, and strengthen ethical guidance within chatbot-led simulations. Conclusions: The AIMS evaluation framework provides a practical and replicable approach for evaluating the use of AI chatbots in simulation-based education. By offering structured criteria for both prompt design and chatbot performance, the model supports instructional designers, simulation specialists, and developers in identifying areas of strength and improvement. The findings underscore the importance of intentional design, safety monitoring, and inclusive language when integrating AI into nursing and health education. As AI tools become more embedded in learning environments, this framework offers a thoughtful starting point for ensuring they are applied ethically, effectively, and with learner diversity in mind. Full article

The preparedness of healthcare workers for disaster situations depends on their technical skills, disaster knowledge, and psychosocial strength, including teamwork and emotional regulation. This study aims to assess disaster preparedness among healthcare professionals in primary healthcare centers (PHCs) in Alqurayat, Saudi Arabia, with a specific focus on evaluating technical competencies, psychosocial readiness, and predictive modeling of preparedness levels. A mixed-methods approach was employed, incorporating structured questionnaires, semi-structured interviews, and observational data from disaster drills to evaluate the preparedness levels of 400 healthcare workers, including doctors, nurses, and administrative staff. The results showed that while knowledge (mean: 3.9) and skills (mean: 4.0) were generally moderate to high, notable gaps in overall preparedness remained. Importantly, 69.5% of participants reported enhanced readiness following simulation drills. Machine learning models, including Random Forest and Artificial Neural Networks, were used to predict preparedness outcomes based on psychosocial variables such as emotional intelligence, teamwork, and stress management. Sentiment analysis and topic modeling of qualitative responses revealed key themes including communication barriers, psychological safety, and the need for ongoing training. The findings highlight the importance of integrating both technical competencies and psychosocial resilience into disaster management programs. This study contributes an innovative framework for evaluating preparedness and offers practical insights for policymakers, disaster planners, and health training institutions aiming to strengthen the sustainability and responsiveness of primary healthcare systems. Full article

The aim of this work is to investigate the effect of curing temperature and time on the development of compressive strength in geopolymer mortars produced using ground granulated blast-furnace slag (GGBFS) and fly ash (FA). Considering curing circumstances, both the activation energy and the reference temperature could be used properly to build a reliable anticipated model for predicting the compressive strength of geopolymer-based products (mortar and concrete) using maturity-based techniques. In this study, the compressive strength development of geopolymer mortar made from (FA) and (GGBFS) under varying curing conditions. The mortar was prepared using an alkali solution of sodium hydroxide (NaOH) and sodium silicate (Na₂SiO₃) in a 1:1 ratio, with NaOH molarity of 12. Specimens were cast following ASTM C109 standards, with a binder/sand ratio of 1:2.75, and compacted for full densification. FA-based mortar was cured at 40 °C, 80 °C, and 120 °C, while GGBFS-based mortar was cured at 5 °C, 15 °C, and 40 °C for durations of 0.5 to 32 days. Compressive strength was evaluated at each curing period, and data were analyzed using ASTM C1074 procedures alongside a computational model to determine the best-fit datum temperature and activation energy. The Nurse-Saul maturity method and Arrhenius equation were applied to estimate the equivalent age and maturity index of each mix. A predictive model was developed for geopolymer concrete prepared at an alkali-to-binder ratio of 0.45 and NaOH molarity of 12. The final equation demonstrated high accuracy, offering a reliable tool for predicting geopolymer strength under diverse curing conditions and providing valuable insights for optimizing geopolymer concrete formulations. Full article

Background/Objectives: Aortic stenosis is a common heart disease, particularly among elderly patients. Transcatheter aortic valve implantation (TAVI) offers a minimally invasive alternative method to surgical valve replacement for high-risk patients. Although clinical guidelines for TAVI are well established, standardized nursing care pathways are lacking. This systematic review aims to clarify the nursing role in the pre-, peri-, and postoperative phases of TAVI. Methods: This review was conducted in accordance with the PRISMA guidelines. After applying the eligibility criteria, ten studies were selected from five databases: PubMed, Scopus, CINAHL, Web of Science, and the Cochrane Library. The work was registered in the PROSPERO database with the ID number CRD420251061863. Results: The analysis revealed the following: (1) a strong emphasis on preoperative patient education, often led by nurse coordinators; (2) perioperative nursing roles in conscious sedation protocols and early mobilization; (3) a lack of standardized rehabilitative protocols, especially in the preoperative phase; and (4) an emerging but insufficiently evaluated role of the TAVI nurse coordinator in multidisciplinary care. Most studies concentrated on postoperative care, outcomes, follow-up, and rehabilitation, but the small sample sizes limited the strength of the conclusions. Conclusions: Nurses play a vital role in multidisciplinary TAVI teams. There is an urgent need for evidence-based nursing guidelines to standardize care, improve clinical outcomes, and address the needs of TAVI patients. This review highlights the pivotal contribution of nursing to the success of TAVI. Full article

Background/Objectives: Work engagement is essential for quality care and workforce retention in professional nursing. While job demands–resources theory has guided extensive research on job-related antecedents, personal resources have received comparatively less empirical attention, primarily focusing on self-efficacy, self-esteem, and optimism. This study examined the unique association between ikigai—the Japanese concept of life purpose—as a novel personal resource and work engagement in professional nursing practice, controlling for established job resources, demands, and personal resources. Methods: An analytical cross-sectional study was conducted with vocational nursing trainees in Germany (N = 166). Data were collected via online questionnaire using validated instruments to assess ikigai, job resources (autonomy, interpersonal relations, professional resources), job demands (work overload, lack of formal rewards), other personal resources (self-efficacy, organization-based self-esteem, optimism), and work engagement. Hierarchical multiple linear regression examined ikigai’s unique association with work engagement. Results: The final model explained 40.3% of variance in engagement, with ikigai accounting for a statistically significant increase in explained variance (ΔR² = 0.033, p < 0.01). Ikigai demonstrated a unique positive association with work engagement (β = 0.24, p < 0.01), comparable in strength to job resources and other personal resources. Conclusions: Findings support ikigai as a distinct personal resource associated with work engagement among nursing trainees. This extends the job demands–resources model by highlighting the relevance of existential constructs. Supporting ikigai development may offer a complementary strategy for promoting engagement in professional nursing. Full article

Background/Objectives: Understanding environmental experiences in residential dementia care is crucial for enhancing care practices, training, and policy. The environment’s role in dementia care is complex. Allied health and nursing professionals must consider environmental aspects concerning care for individuals with dementia. This study investigates how employed caregivers experience and perceive environmental influences in residential dementia care. Methods: In September 2024, we systematically searched PubMed, CINAHL, and PsycINFO for qualitative studies, adhering to SRQR guidelines. The CASP tool was used to assess study quality, ensuring rigor and reliability in selection. The meta-synthesis is registered with Prospero: CRD42024598962. A template analysis was conducted to structure emerging themes. Results: Fifteen studies met the inclusion criteria. Key themes included: 1. Working Environment: Informed understandings—capturing caregivers’ perceptions of organisational structures and support. 2. Lived Environment: Stability and Clarity—highlighting the impact of relational and social dynamics on caregiving; and 3. Physical and Built Environment: Impact on Overall Care Experience—looking at the role of space and design in facilitating effective dementia care. Following this, more subthemes emerged, resulting in the final template. Conclusions: The key gaps included understanding the existing strengths of practice, differences in job roles, funding, the role of Employed Caregivers, and Employed Caregivers’ personhood. Emphasising evidence-based practice and clearly defining job roles may improve decision-making and collaboration. It is essential to identify funding gaps and provide clear guidelines and training to ensure equitable care and maximise the contributions of Employed Caregivers working with nurses and allied health professionals. Recognising Employed Caregivers’ personhood could enhance job satisfaction and reduce burnout. Policies should address these gaps by providing training to clarify roles and enhance skills. A supportive, person-centred workplace may improve satisfaction and care outcomes. Future research should evaluate these aspects and continue to identify the best practices. Full article

Sarcopenia, characterized by progressive loss of muscle mass and strength, significantly increases health risks in healthy older adults. Resistance training (RT) is believed to counteract sarcopenia through a variety of physiological mechanisms, many of which remain underexplored by public health and physiotherapy professionals. This scoping review aims to consolidate studies that have explored RT programs in mitigating sarcopenia among healthy older adults. A systematic search in four knowledge databases (Web of Science, Scopus, Embase, Cumulative Index for Nursing and Allied Health Sciences Complete) was conducted on 30 April 2024 to consolidate the evidence of RT programs to mitigate sarcopenia risk among healthy older adults. Two reviewers independently screened, consolidated, and synthesized the results based on the Arksey and O’Malley framework. We included 36 studies supporting the RT program for reducing sarcopenia risk among healthy older people. Current evidence, predominantly derived from studies with high selection bias and non-randomized designs, indicates that RT programs may enhance muscle strength in healthy older adults. However, their impact on muscle morphology and mobility appears less pronounced. The dosage and intensity of RT are critical factors influencing these health outcomes. To substantiate the health benefits of RT in healthy older adults and facilitate the translation of research findings into policy-level recommendations, further high-quality, randomized controlled trials are warranted. Full article

Background: Evidence-Based Nursing Practice (EBNP) plays a crucial role in ensuring high-quality patient care. This study evaluates master’s degree nursing students’ knowledge, attitudes, and skills related to EBNP, identifying strengths and key gaps that require curriculum improvements to enhance their competencies in evidence-based practice. Methods: A cross-sectional study was conducted among 103 master’s degree nursing students at Wrocław Medical University. Data were collected using a demographic questionnaire and the standardized Polish version of the Evidence-Based Practice Profile Questionnaire (EBP2Q). Results: The findings indicate that students demonstrated generally positive attitudes toward EBNP (mean score: 53.43 ± 10.05 out of 70). However, knowledge of research terminology was moderate (44.66 ± 18.01 out of 85), and the frequency of EBNP utilization in practice was relatively low (22.15 ± 8.74 out of 45). Significant differences were observed based on study mode and academic progression, with part-time students scoring higher in attitudes toward competency development (p = 0.02). A weak but positive correlation was found between professional experience and the frequency of EBNP utilization (r = 0.182, p = 0.068), while knowledge of research terminology showed a non-significant association with age (r = 0.167, p = 0.092). Conclusions: These findings highlight the need for targeted curriculum enhancements, particularly in research literacy, practical application opportunities, and the integration of mentorship and educational resources. Strengthening EBNP education will better equip nursing students to implement evidence-based practices in clinical settings, ultimately improving patient care quality. Full article

The primary aim of this scoping review was to identify practical risk factors associated with an elevated risk in anterior cruciate ligament injury (ACLI) in elite male field team athletes that can be applied meaningfully in screening tools by team support personnel. Five relevant databases were searched (SportsDISCUS, Medical Literature Analysis and Retrieval System Online, PsycINFO, Web of Science and Cumulative Index to Nursing and Allied Health Literature) following the PRISMA-ScR protocol using the criteria: (1) written in English and peer-reviewed; (2) full-text available; (3) discussed ACLI screening tests; (4) an elite athlete cohort; (5) males; (6) field team sport. The search identified 962 manuscripts, with nine manuscripts meeting the inclusion criteria. Field sports represented were soccer (n = 7), American football (n = 1), and a mixed-sport cohort of soccer, rugby, and field hockey (n = 1). Manuscripts reported modifiable risk factors (the joint range of motion n = 1, biomechanics n = 3, and strength n = 1) and non-modifiable (anatomical n = 2 and genetics n = 2). Whilst the joint range of motion screening indicated statistical significance to ACLI risk, there was little predictive value. Non-modifiable risk factors were significantly correlated to ACLI and reported a higher predictive capacity for ACLI risk. There is limited systematic research investigating and providing predictive insight for screening tests of ACLI risk in elite male team sport athletes. Future prospective investigations should consider the validity of ACLI screening tests in elite male field-based sport populations, and establish efficacy, so that sporting clubs can confidently implement screening tests of value into practice. Full article

Background/Objectives: Historically, male nurses were predominant in mental health settings due to their perceived physical strength and ability to manage violent patients. However, societal changes and the evolution of nursing education have led to a decline in male participation. This study aims to explore the characteristics, qualities, and attributes of male mental health nurses, while aiming to identify factors that attract and retain, as well as that deter, men in this field, to inform male recruitment and retention strategies to grow the mental health nursing workforce. Methods: A scoping review was conducted across six databases, including PubMed, MEDLINE, Web of Science, Scopus, CINAHL, PsycINFO, and ProQuest. The focus was on studies from 1970 to 2024. Screening and selection of studies were based on eligibility criteria. Narrative synthesis was conducted, and the study follows the PRISMA for Scoping Reviews checklist. Results: Limited research exists on male mental health nurses. The data highlight the unique contributions of male nurses, including their resilience, teamwork, and emotional competence. They also identify challenges such as workplace violence, stigma, and lack of career development opportunities. The literature suggests that targeted recruitment strategies and supportive work environments are essential to increase the number of male mental health nurses and address the nursing shortage in this specialty. Positive academic experiences and professional development opportunities are crucial for retaining male nurses. Conclusions: Addressing stigma associated with mental health nursing is needed, starting with a positive public health education campaign. Addressing workplace violence needs to stem from improved organisational procedures that promote the safety and wellbeing of nurses and clients, combined with de-escalation education and training; mentoring are vital to improving attraction, job satisfaction, and the retention of male nurses. By understanding these factors, health care organisations can better support male mental health nurses and enhance the overall quality of mental health care. Full article

(1) Background: Institutionalized older adults represent a vulnerable population. It is important to understand that higher levels of physical activity in older adults are associated with less risk of cardiovascular diseases, better cognition, and lower inflammaging and sarcopenia levels. The main objective was to evaluate the differences in health parameters in institutionalized older adults who perform different levels of weekly physical activity. The secondary objective was to analyze if weekly physical activity levels are a predictor of health parameters. (2) Methods: A cross-sectional observational study was conducted in nursing homes with adults over 75 years of age. A total of 76 participants was divided into three groups based on their weekly physical exercise frequency (1 day/week, 2 days/week, and 3 days/week). We measured demographic and anthropometric variables, along with cognitive level through the Mini Exam of Lobo. Handgrip strength, leg muscle strength, and power were also evaluated, and C-reactive protein levels were assessed through blood tests. Physical performance was measured using the Short Physical Performance Battery and walking speed. (3) Results: Significant differences were found in body mass index (p < 0.01; ES = 0.96), muscular strength (p < 0.01; ES = 0.70), and power (p < 0.01; ES = 1.09), Short Physical Performance Battery (p < 0.01; ES = 1.46) and walking speed (p < 0.01; ES = 0.87), cognitive function (p < 0.01; ES = 1.21), and C-reactive protein levels (p < 0.01; ES = 1.73), favoring the group who performed 3 days/week of physical activity. (4) Conclusions: Institutionalized older adults with three days per week of physical activity have greater physical and muscle function and less cognitive decline. Three days of weekly physical activity is associated with systemic inflammation and better cognitive status in institutionalized older adults. Full article

Inadequate communication between nurses and surgeons can lead to patient injuries and increased healthcare costs. This study aimed to identify and understand subjective perceptions of communication between Korean nurses and surgeons in operating rooms (ORs), focusing on their values, beliefs, and attitudes. The Q-methodology was employed in this research, as it integrates the strengths of both quantitative and qualitative approaches. A convenience sample of 46 participants classified 45 Q-statements by using a nine-point forced normal grid. The collected data were analyzed by using by-person factor analysis with the pc-QUANL program. This study revealed four distinct types of nurse–surgeon communication in the OR: professional communication, cynical conflict, passive task-oriented communication, and relationship-oriented endurance. These four types accounted for 58.7% of the total variance, distributed as follows: type 1 (38.7%), type 2 (9.8%), type 3 (5.4%), and type 4 (4.8%). The eigenvalues were 15.8, 4.1, 2.2, and 1.9, respectively. Based on these findings, tailored strategies to enhance nurse–surgeon communication according to each type are essential. Enhancing communication dynamics can lead to more effective interactions, improve patient care and safety, and boost job satisfaction among healthcare professionals. The results have significant implications for healthcare organizations and nursing managers aiming to improve nurses’ communication skills. Additionally, this study provides insights for healthcare organizations in other countries regarding the communication competence traits among Korean health professionals. Full article

Background and Objectives: Post-traumatic stress disorder (PTSD) is a debilitating condition worldwide. The limited effectiveness of current psychological and pharmacological treatments has motivated studies on meditation techniques. This study is a comprehensive, multiple-treatments meta-analysis comparing the effectiveness of different categories of meditation in treating PTSD. Methods and Materials: We followed Prisma guidelines in our published protocol to search major databases and to conduct a meta-analysis of the studies. Results: We located 61 studies with 3440 subjects and divided them logically into four treatment groups: Mindfulness-Based Stress Reduction (MBSR, 13 studies); Mindfulness-Based Other techniques (MBO, 16 studies), Transcendental Meditation (TM, 18 studies), and Other Meditations that were neither mindfulness nor TM (OM, 14 studies). Trauma populations included war veterans, war refugees, earthquake and tsunami victims, female survivors of interpersonal violence, clinical nurses, male and female prison inmates, and traumatized students. Of those offered, 86% were willing to try meditation. The baseline characteristics of subjects were similar across meditation categories: mean age = 52.2 years, range 29–75; sample size = 55.4, range 5–249; % males = 65.1%, range 0–100; and maximum study duration = 13.2 weeks, range 1–48. There were no significant differences between treatment categories on strength of research design nor evidence of publication bias. The pooled mean effect sizes in Hedges’s g for the four categories were MBSR = −0.52, MBO = −0.66, OM = −0.63, and TM = −1.13. There were no appreciable differences in the study characteristics of research conducted on different meditations in terms of the types of study populations included, outcome measures, control conditions, gender, or length of time between the intervention and assessment of PTSD. TM’s effect was significantly larger than for each of the other categories, which did not differ from each other. No study reported serious side effects. Conclusions: All categories of meditation studied were helpful in mitigating symptoms of PTSD. TM produced clinically significant reductions in PTSD in all trauma groups. We recommend a multisite Phase 3 clinical trial to test TM’s efficacy compared with standard treatment. Full article

Indoor localization technology is becoming increasingly widespread, but traditional methods for constructing Wi-Fi fingerprint databases face significant challenges, particularly in large, multi-room environments. These methods often suffer from low efficiency and high costs associated with manual data collection. To address these issues, various approaches like crowdsourcing and sparse collection have been introduced, but they still struggle with limitations such as inadequate data accuracy and uneven distribution. In this paper, we present a novel method for constructing Wi-Fi fingerprint databases based on environmental feature awareness. By leveraging deep learning to analyze the relationship between environmental features and Wi-Fi signal strength, our method enables faster and more efficient database construction. Experimental results demonstrate that our environmental feature-aware model significantly outperforms existing methods in prediction accuracy, greatly enhancing both the efficiency and accuracy of Wi-Fi fingerprint database construction. This approach also reduces the need for manual intervention and improves generalization capabilities. Our method proves to be highly practical and adaptable, especially in large-scale structures like nursing homes. It holds a substantial potential for broader application in extensive indoor environments, offering considerable value for widespread adoption. Full article

This study focuses on the automatic generation of architectural floor plans for standard nursing units in general hospitals based on Stable Diffusion. It aims at assisting architects in efficiently generating a variety of preliminary plan preview schemes and enhancing the efficiency of the pre-planning stage of medical buildings. It includes dataset processing, model training, model testing and generation. It enables the generation of well-organized, clear, and readable functional block floor plans with strong generalization capabilities by inputting the boundaries of the nursing unit’s floor plan. Quantitative analysis demonstrated that 82% of the generated samples met the evaluation criteria for standard nursing units. Additionally, a comparative experiment was conducted using the same dataset to train a deep learning model based on Generative Adversarial Networks (GANs). The conclusion describes the strengths and limitations of the methodology, pointing out directions for improvement by future studies. Full article